Grip Pressure–Action Quality Correlation for Consistent Golf Swings
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Solution Overview
Problem
Athletes, particularly in club and racket sports, face challenges in diagnosing and correcting grip-related faults that significantly impact their performance, as minor changes in grip position and force can lead to substantial variations in shot outcomes, and existing feedback methods are inadequate for precise grip adjustments.
Innovation Solution
A system comprising a grip pressure sensor, action quality sensor, and processor to correlate grip pressure with action quality, providing indicators for consistent grip adjustments based on desired actions, using tactile, visual, or audible feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If athletes use traditional feedback methods (coaching or video feedback) to diagnose grip faults, then they can receive guidance on grip adjustments, but it is difficult to correctly diagnose and fix grip faults due to multiple factors affecting shot outcomes and the subtle impact of minor grip changes
Solution Approach 1:
The system implements real-time feedback by capturing grip pressure data through pressure sensors and correlating it with action quality data from motion sensors. The processor analyzes this correlated data to provide immediate feedback to the athlete about grip effectiveness, enabling precise diagnosis of grip faults without complex manual analysis by coaches
Solution Approach 2:
The system replaces the mechanical/manual feedback process (coaching observation and video analysis) with an automated electronic system using pressure sensors, motion sensors, and a processor. This substitution eliminates the subjectivity and complexity of human diagnosis while providing objective, data-driven grip fault identification
2Adaptability or versatility
If athletes make minor changes in grip position and force to adjust shot outcomes, then they can optimize shot shape, flight and distance, but it becomes difficult to maintain consistent grip placement and force between shots
Solution Approach 1:
The system provides real-time feedback on grip pressure and its correlation with action quality, allowing athletes to see the immediate effect of grip adjustments. This enables them to adapt their grip to achieve desired shot outcomes while maintaining consistency through data-driven adjustments rather than trial and error
Solution Approach 2:
The system monitors and provides feedback on specific grip parameters (pressure, position) and their correlation with action quality. Athletes can adjust these parameters based on feedback to optimize shot outcomes while maintaining consistent technique, effectively changing grip parameters to achieve adaptability without sacrificing stability
3Difficulty of detecting and measuring
If coaches and athletes attempt to diagnose grip faults by analyzing multiple factors affecting shot outcomes, then they can identify potential issues, but even elite level athletes and coaches find it difficult to correctly diagnose and fix grip faults due to the complexity of multiple influencing factors
Solution Approach 1:
The system directly measures and correlates grip pressure with action quality through sensors and processing, providing clear feedback on the relationship between grip and shot outcome. This eliminates the information loss that occurs when trying to infer grip effects from multiple factors, as the system directly captures the correlation data
Solution Approach 2:
The system replaces the complex manual analysis process with automated sensor-based measurement and correlation analysis. The processor automatically identifies grip faults by analyzing the correlation between grip pressure data and action quality data, making detection straightforward without requiring expert knowledge of multiple influencing factors
Data Source
AI summary
A system and method configured to receive or obtain action quality data related to a user's action with a tool, such as a swing with a golf club, and corresponding pressure data related to the user's grip on the tool during the action. The system and method are configured to determine a correlation between the pressure data and action quality data, which may be normalized to remove the effects of gravity if the data is collected with a sensor that is sensitive to gravity, and output at least one indicator related to the correlation.